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ICML
2008
IEEE
15 years 10 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
IDA
2005
Springer
15 years 3 months ago
A Knowledge-Based Model for Analyzing GSM Network Performance
Abstract. In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements ...
Pasi Lehtimäki, Kimmo Raivio
CLUSTER
2002
IEEE
15 years 2 months ago
Reliable Blast UDP: Predictable High Performance Bulk Data Transfer
High speed bulk data transfer is an important part of many data-intensive scientific applications. This paper describes an aggressive bulk data transfer scheme, called Reliable Bl...
Eric He, Jason Leigh, Oliver T. Yu, Thomas A. DeFa...
ICAC
2005
IEEE
15 years 3 months ago
Resource Allocation for Autonomic Data Centers using Analytic Performance Models
Large data centers host several application environments (AEs) that are subject to workloads whose intensity varies widely and unpredictably. Therefore, the servers of the data ce...
Mohamed N. Bennani, Daniel A. Menascé
BMCBI
2004
135views more  BMCBI 2004»
14 years 9 months ago
Information assessment on predicting protein-protein interactions
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
Nan Lin, Baolin Wu, Ronald Jansen, Mark Gerstein, ...